標題: Titlebook: Computational Neurosurgery; Antonio Di Ieva,Eric Suero Molina,Carlo Russo Book 2024 The Editor(s) (if applicable) and The Author(s), under [打印本頁] 作者: microbe 時間: 2025-3-21 18:45
書目名稱Computational Neurosurgery影響因子(影響力)
書目名稱Computational Neurosurgery影響因子(影響力)學科排名
書目名稱Computational Neurosurgery網(wǎng)絡公開度
書目名稱Computational Neurosurgery網(wǎng)絡公開度學科排名
書目名稱Computational Neurosurgery被引頻次
書目名稱Computational Neurosurgery被引頻次學科排名
書目名稱Computational Neurosurgery年度引用
書目名稱Computational Neurosurgery年度引用學科排名
書目名稱Computational Neurosurgery讀者反饋
書目名稱Computational Neurosurgery讀者反饋學科排名
作者: 畫布 時間: 2025-3-21 23:08
Navigating Mathematical Basics: A Primer for Deep Learning in Science crash course, our presentation is kept in the context of deep learning and machine learning models including the sigmoid model, the softmax model, and fully connected feedforward deep neural networks. We also hint at basic mathematical objects appearing in neural networks for images and text data.作者: Arthropathy 時間: 2025-3-22 03:01 作者: 消散 時間: 2025-3-22 07:19 作者: refine 時間: 2025-3-22 12:00 作者: 遺傳學 時間: 2025-3-22 15:11 作者: 遺傳學 時間: 2025-3-22 20:54 作者: Nonconformist 時間: 2025-3-22 23:54
Applications and Integration of Radiomics for Skull Base Oncologydiomic applications, contrast-enhanced T1-weighted MRI images remain the most utilized sequence for model development. Efforts to standardize and connect radiomic features to tumor biology have facilitated more clinically applicable radiomic models. Despite the advancement in model performance, seve作者: 充足 時間: 2025-3-23 05:07
0065-2598 luding neurodiagnostics, neuro-oncology, vascular neurosurgery, all the neurosurgical disciplines, surgical approaches, intraoperative applications, and ethics and legal aspects..978-3-031-64894-6978-3-031-64892-2Series ISSN 0065-2598 Series E-ISSN 2214-8019 作者: Arresting 時間: 2025-3-23 08:47
Book 2024tificial intelligence, computational analysis, and analysis software; (2) computational neurosurgery applications, including neurodiagnostics, neuro-oncology, vascular neurosurgery, all the neurosurgical disciplines, surgical approaches, intraoperative applications, and ethics and legal aspects..作者: 可互換 時間: 2025-3-23 10:50 作者: 土產(chǎn) 時間: 2025-3-23 17:35 作者: minaret 時間: 2025-3-23 19:44 作者: –scent 時間: 2025-3-24 00:48
Einleitung 50 Jahre Relativit?tstheorierful tool for generating a wide range of text, including medical reports, surgical notes, and even poetry. Additionally, the model has been trained on a large corpus of text, which allows it to generate text that is both grammatically correct and semantically meaningful. In terms of applications in 作者: municipality 時間: 2025-3-24 04:06
Zur Soziologie des Geniebegriffsf radiomics features and machine learning algorithms. This chapter reviews the applications of AI methodologies in brain tumors. We highlight the significance of data preprocessing and augmentation and explore deep learning models for brain tumor segmentation and the fusion of clinical and imaging d作者: jovial 時間: 2025-3-24 07:40
An Evolving Relationship: Albert and Hélènefield, including data diversity, overfitting risks, and the need for extensive, annotated datasets, are critically assessed. The necessity of integrating these advanced technologies into clinical practice through interdisciplinary collaboration is underscored as a crucial factor for their effective 作者: intuition 時間: 2025-3-24 12:39 作者: Desert 時間: 2025-3-24 16:04 作者: Entreaty 時間: 2025-3-24 22:41 作者: Meditative 時間: 2025-3-25 00:26
Bürgerlicher und kapitalistischer Geistles for model re-training or fine-tuning. Recognizing this limitation, we explore a new learning framework designed to facilitate fast adaptation to new tumor types with only a few labeled data samples.作者: 好色 時間: 2025-3-25 05:18 作者: 某人 時間: 2025-3-25 09:19 作者: 節(jié)省 時間: 2025-3-25 12:04 作者: 禁止 時間: 2025-3-25 16:38 作者: Engaged 時間: 2025-3-25 22:17
https://doi.org/10.1007/978-3-322-83166-8s wholeness, from neurons to the cortical structure and connections, and introduced new prognostic, diagnostic, and eventually therapeutic markers of many diseases of neurosurgical interest, including brain tumors and cerebrovascular malformations, as summarized in this chapter.作者: Amplify 時間: 2025-3-26 02:29 作者: Neuropeptides 時間: 2025-3-26 07:08
Deep Learning: A Primer for Neurosurgeonsplementation of DL in neurosurgery. The potential for DL to revolutionize neurosurgical practices through improved diagnostics, patient-specific surgical planning, and the advent of intelligent surgical robots is underscored, promising a future where technology and healthcare converge to offer unprecedented solutions in neurosurgery.作者: 演繹 時間: 2025-3-26 11:12 作者: 動物 時間: 2025-3-26 12:43
Computer Vision in Digital Neuropathologyassification of brain tumors, and quantitative assessment of tissue biomarkers. In addition, we further delve into the challenges and opportunities presented by large-scale image datasets and the integration of digital pathology into neurosurgical practice.作者: MELD 時間: 2025-3-26 18:43 作者: Myosin 時間: 2025-3-26 21:37
The Black Messiah and Black Sufferingof various AI techniques, their varied applications, and the challenges that arise within this dynamic field. Importantly, this chapter is crafted as a crucial primer for medical practitioners and students striving to connect sophisticated AI theories with their concrete applications.作者: grounded 時間: 2025-3-27 02:24 作者: 遺傳 時間: 2025-3-27 07:54
Authenticity in the Philosophy of Nietzscheted intelligence (AI+) framework to be implemented in modern and future healthcare, aimed to improve the knowledge of the brain, in all its physiopathological spectrum, and to enhance the understanding and treatment of neurological and neurosurgical diseases.作者: Harpoon 時間: 2025-3-27 13:28
Corneal Manifestations of Metabolic Disease as liquid biopsy, machine learning, radiomic analysis, computer vision, and label-free optical imaging, aim to revolutionize skull base surgery. AI-driven advancements promise safer, more precise, and effective surgeries, improving patient outcomes and preoperative assessment.作者: 加強防衛(wèi) 時間: 2025-3-27 16:59 作者: 調(diào)色板 時間: 2025-3-27 21:03
Artificial Intelligence, Radiomics, and Computational Modeling in Skull Base Surgery as liquid biopsy, machine learning, radiomic analysis, computer vision, and label-free optical imaging, aim to revolutionize skull base surgery. AI-driven advancements promise safer, more precise, and effective surgeries, improving patient outcomes and preoperative assessment.作者: 階層 時間: 2025-3-28 00:03
Computational Neurosurgery: Foundation,tment, and prognosis of patients affected by diseases of neurosurgical relevance. By laying the foundations of the field, this chapter summarizes the main aspects and implications of artificial intelligence in the clinical neurosciences, with particular emphasis on the necessity to provide an augmen作者: 催眠 時間: 2025-3-28 03:10 作者: 磨坊 時間: 2025-3-28 06:55
Artificial Intelligence Methodsaddressing contemporary healthcare challenges. This chapter aims to provide an overview of AI methodologies, centering on the foundational principles of various AI techniques, their varied applications, and the challenges that arise within this dynamic field. Importantly, this chapter is crafted as 作者: 玩忽職守 時間: 2025-3-28 11:00
Deep Learning: A Primer for Neurosurgeonse, surgical planning, execution, and postoperative assessment. It delves into various deep learning architectures, including convolutional and recurrent neural networks, and their applications in analyzing neuroimaging data for brain tumors, spinal cord injuries, and other neurological conditions. T作者: Cultivate 時間: 2025-3-28 16:57
Navigating Mathematical Basics: A Primer for Deep Learning in Scienceourse” aimed at quickly enabling scientists with understanding of the building blocks used in many equations, formulas, and algorithms that describe deep learning. While this short presentation cannot replace solid mathematical knowledge that needs multiple courses and years to solidify, our aim is 作者: CAMP 時間: 2025-3-28 21:03
Computational Fractal-Based Neurosurgery different fields, including physics, astronomy, geology, meteorology, finances, social sciences, and computer graphics. In the biomedical sciences, the use of fractal parameters has allowed the introduction of novel morphometric parameters, which have been shown to be useful to characterize any bio作者: Mnemonics 時間: 2025-3-29 02:18
Graph Theory and Modeling of Network Topology in Clinical Neurosurgeryregions. This conceptual revolution, coupled with advancements in computing capabilities and resources, has enabled a wealth of research on delineating and treating aberrant brain networks. One approach to network neuroscience, graph theory, involves modeling network topologies as mathematical graph作者: debris 時間: 2025-3-29 05:52
Computer Vision in Digital Neuropathologyosurgeons increasingly embrace digital platforms, computer vision techniques and computerized quantitative analyses (i.e., pathomics) play a pivotal role in automating and enhancing diagnostic processes, as well as in unlocking new insights from neuropathological images. This chapter explores the ro作者: Neuralgia 時間: 2025-3-29 10:33 作者: AGONY 時間: 2025-3-29 14:35 作者: 種類 時間: 2025-3-29 18:00
Large Language Models in Neurosurgery has been trained on a massive amount of text data to understand and generate human-like language. These models are typically built on architectures like transformers. The term “l(fā)arge” indicates that the neural network has a significant number of parameters, making it more powerful and capable of ca作者: PET-scan 時間: 2025-3-29 20:12 作者: 延期 時間: 2025-3-30 02:57 作者: Affirm 時間: 2025-3-30 07:54
Machine Learning and Radiomics in Gliomasosis, prognosis, and treatment of these complex tumors. Radiomics involves the extraction of a multitude of quantitative features from medical images. When these features are analyzed through ML algorithms, the precision of tumor characterization is enhanced beyond traditional methods..This chapter 作者: TAP 時間: 2025-3-30 11:55 作者: 制造 時間: 2025-3-30 13:44 作者: overshadow 時間: 2025-3-30 19:26
Applications and Integration of Radiomics for Skull Base Oncologyapproaches have enabled us to capture patterns from images imperceptible by the human eye. This rich source of data can be combined with a range of clinical features, holding the potential to be a noninvasive source of biomarkers. Applications of radiomics in skull base pathologies have centered aro作者: 晚間 時間: 2025-3-30 23:52 作者: 可觸知 時間: 2025-3-31 00:58
Computational Neurosurgery978-3-031-64892-2Series ISSN 0065-2598 Series E-ISSN 2214-8019 作者: Limpid 時間: 2025-3-31 08:39
Der unersch?pfliche Albert Einsteincal prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one’s own experiences (Bayesian analysis) as well as recognizes complex statistical associations between prognostic and outcome variables (artificial neural networks).作者: dendrites 時間: 2025-3-31 09:14
https://doi.org/10.1007/978-3-031-64892-2deep learning; artificial intelligence; brain; neuroscience; neurosurgery; computational neuroscience; neu作者: GLUT 時間: 2025-3-31 16:35
978-3-031-64894-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
